Enhancement of low-light-level image based on FSFLA algorithm

Because of the limit of the sensitivity of detector, the relative gray scale of radar image and night viewing image is usually very low. So it is necessary to improve the relative gray scale of radar image and night viewing image. An adaptive image enhancement algorithm was proposed based on FSFLA algorithm (A Fast Shuffled Frog Leaping Algorithm). This algorithm was based on FSFLA with larger scan scope, faster convergence rate and shorter computing time. When the algorithm was applied to low light level image, the effect of image enhancement was faster to achieve compared with traditional SFLA algorithm (Shuffled Frog Leaping Algorithm). As a result, this algorithm was more applicable in actual occasion. Under the condition of twenty four given initial value, traditional SFLA algorithm needs to converge twenty times to achieve stability in average while FSFLA algorithm only needs six times in average, thus greatly improving the computing time.